Injury Impact Calculator

The whole point of WAR-style value is that it's already measured relative to a freely available replacement-level player, but this calculator lets you go one step further and specify what your actual backup projects to produce. If the backup is better than replacement level (a positive Replacement Player WAR), the wins lost shrink because the drop-off is smaller than the injured player's full value; if the backup is below replacement level, the wins lost grow beyond what a simple 'subtract their WAR' calculation would show.

Value Lost converts the wins the team is projected to lose into dollars using the flat $8M-per-WAR market rate — it's an estimate of what that missing production would have been worth on the open market. Dead Money is a completely separate figure: it's simply the injured player's actual salary, prorated for the fraction of the season they'll miss, representing money the team is contractually obligated to pay regardless of on-field output. A player can have a large Dead Money figure but a small Value Lost if their salary is high relative to their WAR.

Player $/WAR divides the injured player's salary by their WAR, independent of the injury itself, so it's really a measure of contract efficiency rather than injury impact. A low number means the team was already getting good value for the money before the injury happened; comparing it to the $8M league-average rate used elsewhere in the calculator tells you whether this was a team-friendly deal or an overpay, which matters for evaluating how big a loss the injury represents relative to what the team was paying.

Adjusted Team Wins simply subtracts the calculated Wins Lost from whatever you enter as Team Projected Wins, so it inherits whatever assumption is baked into that input — if you enter a preseason full-year projection, the output reflects a full-season adjustment; if you enter a rest-of-season projection, treat the result the same way. The calculator doesn't know which one you intended, so keep the games-missed and team-wins inputs on the same time frame for the output to mean what you expect.